Methods

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Reinforcement Learning When All Actions Are Not Always Available AAAI 2020 Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NeurIPS 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives ICLR 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Reinforcement Learning with Feedback Graphs NeurIPS 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NeurIPS 2020 Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation EMNLP 2020 Reinforcement Learning with Non-Markovian Rewards AAAI 2020 Reinforcement Learning with Perturbed Rewards AAAI 2020 Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020 Representations for Stable Off-Policy Reinforcement Learning ICML 2020 Residual Policy Learning for Shared Autonomy RSS 2020 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods ICML 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020 Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020 Revisiting Fundamentals of Experience Replay ICML 2020 Reward-Free Exploration for Reinforcement Learning ICML 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 Reward Propagation Using Graph Convolutional Networks NeurIPS 2020 Reward-rational (implicit) choice: A unifying formalism for reward learning NeurIPS 2020